We’re seeking an experienced Cloud Data Engineer for an initial 6-month contract supporting the design and implementation of enterprise data engineering solutions, cloud platforms, and production-ready data pipelines.

Hybrid working arrangement

Occasional flexibility required for regional meetings outside standard Perth business hours

About the Role

This is a hands-on Cloud Data Engineering role focused on developing scalable data pipelines, modernising cloud data platforms and contributing to the design of production-ready data solutions.

You will work within a collaborative digital and data team alongside Data SMEs, Analysts, Cloud Architects, Developers and business stakeholders.

The successful candidate will bring strong Databricks, ETL, cloud platform and programming experience, with the ability to translate business requirements into practical technical solutions.

- Contribute to the design and engineering of end-to-end, production-ready data solutions
- Develop, deploy and maintain scalable cloud data pipelines
- Assist with pipeline architecture and solution design
- Design and implement ETL and ELT processes across multiple data sources
- Support data preparation, transformation, validation and integration activities
- Contribute to data governance decisions covering data quality, sources, standards and tools
- Develop and improve cloud data platforms, engineering practices and automation tools
- Identify technical blockers, delivery risks and opportunities for improvement
- Support data warehousing and Databricks Lakehouse solutions
- Implement infrastructure and workflow automation using tools such as Terraform and Apache Airflow
- Apply CI/CD, Git-based version control and automated deployment practices
- Monitor cloud data platforms, analyse logs and troubleshoot performance or pipeline issues
- Participate actively in Agile ceremonies, sprint planning, demonstrations and continuous improvement activities




- Collaborate with regional teams and attend occasional meetings outside standard Perth working hours

Essential Skills and Experience

- Strong commercial experience as a Cloud Data Engineer or Senior Data Engineer
- Solid hands‑on experience with Databricks and Lakehouse architecture
- Experience designing and implementing ETL or ELT pipelines in cloud environments
- Strong programming capability in Python, Scala or Java
- Advanced SQL skills and experience working with relational databases
- Experience with AWS, Microsoft Azure or Google Cloud Platform
- Experience with cloud data warehouses such as Snowflake, Amazon Redshift, Google Big Query or Databricks Lakehouse
- Experience with workflow orchestration tools such as Apache Airflow, Apache NiFi, Luigi or similar
- Understanding of database deployment and change-management tools such as Liquibase
- Experience with Docker and Kubernetes
- Knowledge of CI/CD pipelines, Git, configuration management and deployment automation
- Experience with cloud monitoring and logging tools such as AWS Cloud Watch, Azure Monitor or Google Cloud Monitoring
- Understanding of cloud networking, including VPCs, subnets, DNS, security groups and load balancers
- Experience working within Agile delivery environments using Jira, Confluence, Atlassian tools or Azure Dev Ops
- Google Professional Data Engineer certification
- Experience with Apache Beam, Talend, Informatica or custom ETL frameworks
- Experience with NoSQL technologies such as MongoDB, Cassandra or Redis
- Exposure to Ansible, Chef or Puppet
- Experience delivering enterprise data platforms within mining, resources, exploration or complex global organisations
- Relevant tertiary qualification in information technology, computer science, engineering, data science or a related discipline

Ready to Apply?

We would like to hear from experienced Cloud Data Engineers, Databricks Engineers, Azure Data Engineers, AWS Data Engineers, Data Platform Engineers or Senior Data Engineers who are based in Perth and available to commence at short notice.

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📌 Cloud Engineer (Perth)
🏢 Indigeco
📍 Perth